Results 61 to 70 of about 487,056 (216)
Faster Training of Mask R-CNN by Focusing on Instance Boundaries
, 2019 We present an auxiliary task to Mask R-CNN, an instance segmentation network, which leads to faster training of the mask head. Our addition to Mask R-CNN is a new prediction head, the Edge Agreement Head, which is inspired by the way human annotators ...
Siems, Julien N., Zimmermann, Roland S.
core +1 more source
Target Fast Detection Algorithm Based on Hybrid Structure Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2018 In order to improve the detection speed of the Convolutional Neural Network (CNN) target detection algorithm,a target fast detection algorithm based on hybrid structure CNN is proposed.CNN is optimized by CNN-based Faster R-CNN target detection framework.
LIN Fengxiao,CHEN Huajie,YAO Qinwei,ZHANG Jiehao
doaj +1 more source
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
, 2017 Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflecting on discriminative regions of objects, key differences among different
Deng Jia +5 more
core +1 more source
A High-Precision Detection Method of Apple Leaf Diseases Using Improved Faster R-CNN
Agriculture, 2023 Apple leaf diseases seriously affect the sustainable production of apple fruit. Early infection monitoring of apple leaves and timely disease control measures are the key to ensuring the regular growth of apple fruits and achieving a high-efficiency ...
Xulu Gong, Shujuan Zhang
semanticscholar +1 more source
RecFRCN: Few-Shot Object Detection With Recalibrated Faster R-CNN
IEEE Access, 2023 Currently, Faster R-CNN serves as the fundamental detection framework in the majority of few-shot object detection algorithms. However, due to limited samples per class, the Faster R-CNN’s classification branch faces limitations in capturing ...
Youyou Zhang, Tongwei Lu
doaj +1 more source
Learning Detection with Diverse Proposals
, 2017 To predict a set of diverse and informative proposals with enriched representations, this paper introduces a differentiable Determinantal Point Process (DPP) layer that is able to augment the object detection architectures.
Azadi, Samaneh +2 more
core +1 more source
Vitis Vinera L. Leaf Detection using Faster R-CNN [PDF]
BIO Web of ConferencesGrapes are a type of vine that belongs to the Vitaceae family and has many health benefits. There are dozens of grape varieties that are widespread in Indonesia. Grape varieties can be differentiated based on their various leaf shapes.
Sarosa Moechammad +3 more
doaj +1 more source
Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks
Applied Sciences, 2020 Cracks are often the most intuitive indicators for assessing the condition of in-service structures. Intelligent detection methods based on regular convolutional neural networks (CNNs) have been widely applied to the field of crack detection in recently ...
Lu Deng +4 more
doaj +1 more source
An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN
, 2018 Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a crucial role in clinical routines.
Mo, Xi +3 more
core +1 more source
MegDet: A Large Mini-Batch Object Detector
, 2018 The improvements in recent CNN-based object detection works, from R-CNN [11], Fast/Faster R-CNN [10, 31] to recent Mask R-CNN [14] and RetinaNet [24], mainly come from new network, new framework, or novel loss design. But mini-batch size, a key factor in
Jia, Kai +7 more
core +1 more source